Sr. Data Engineer with Data Vault Experience

6 - 8 years

0 Lacs

Posted:2 days ago| Platform: Foundit logo

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Work Mode

On-site

Job Type

Full Time

Job Description

About Cittabase

  • Company overview
  • Our Approach
  • Our Values and Core Principles
  • Careers
  • Events
Department:

Data Analytics

Project Location(s):

Chennai, TN, India

Education:

Professional Degree

We are looking for a

Sr. Data Engineer

with strong hands-on

Data Vault 2.0 modelling and design

experience, advanced SQL skills, and solid data warehousing fundamentals. The role requires practical experience with the

GCP stack

(BigQuery, Dataflow, Cloud Composer) and strong exposure to

Dataplex

. Candidates should be proficient in taxonomy, ontology, and designing agile data models that separate and organize data domains effectively.

Responsibilities

  • Design and implement Data Vault 2.0 models (Hubs, Links, Satellites) using best practices.
  • Define and maintain taxonomy and ontology frameworks for domain separation and agility.
  • Build scalable data pipelines using BigQuery, Dataflow, and Cloud Composer.
  • Implement governance, classification, quality rules, and lineage using Dataplex.
  • Develop complex SQL transformations and optimize performance for analytical workloads.
  • Collaborate with architecture, product, and analytics teams to deliver governed, scalable data models.

Experience:

6+ Years

Location:

Chennai

Employment Type:

Full-time

Qualifications

  • 6+ years of experience in data engineering, data warehousing, or analytics engineering roles.
  • Strong hands-on experience in Data Vault modelling & design.
  • Advanced SQL skills and strong data warehousing fundamentals.
  • Practical experience with GCP BigQuery, Dataflow, Cloud Composer, and Dataplex.
  • Knowledge of taxonomy, ontology, and metadata-driven modelling practices.
  • Exposure to Workday data structures and HR/People Analytics domain understanding.
  • Exposure to dbt, Snowflake, or Databricks.
  • Familiarity with CI/CD and cloud-native engineering best practices.
  • Good analytical, problem-solving, and collaboration skills.
Join us and contribute to our innovative projects. Apply now to be part of our dynamic team!
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